Sr. Data Engineer

Job Title: Sr. Data Engineer

IV Process: 2 rounds virtual, final interview onsite

Location: 3800 Quick Hill Road Austin, TX 78728 (3 days onsite)

Intro Summary
We’re seeking a highly skilled Senior Data Engineer who thrives on solving complex data challenges and building scalable, enterprise‑grade solutions. This role is ideal for a detail‑oriented, analytical professional with deep SQL expertise and experience supporting data warehouses, analytics platforms, and batch‑processing environments.

What You’ll Do

• Design, develop, and optimize SQL queries, stored procedures, and ETL workflows across DB2, Oracle, and SQL Server
• Support and enhance enterprise Data Warehouse architectures, including dimensional modeling and ETL/ELT pipelines
• Develop and maintain Linux shell scripts for automation and batch scheduling
• Work with Mainframe datasets and utilities to extract and integrate data
• Build and support datasets and data models for IBM Cognos Analytics reporting
• Partner with analysts, data scientists, and business stakeholders to deliver high‑quality data solutions
• Troubleshoot data quality issues, performance bottlenecks, and system failures

What We’re Looking For

• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
• 5+ years of experience as a Data Engineer or in a similar role
• Advanced SQL expertise across DB2, Oracle, and SQL Server
• Strong knowledge of Data Warehouse concepts (ETL, dimensional modeling, data marts, OLAP)
• Proficiency with Linux shell scripting (bash, ksh, etc.)
• Experience with Mainframe systems (JCL, datasets, utilities)
• Hands‑on experience with IBM Cognos Analytics or similar BI tools <<<<<<<<<<<
• Strong analytical, problem‑solving, and collaboration skills
• This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.

Why Join Us

• Work on complex, high‑impact data solutions at enterprise scale
• Collaborate with talented, cross‑functional teams
• Influence data architecture and analytics that drive business decisions
• Join a culture that values technical excellence, ownership, and continuous improvement